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Deep model: Difference between revisions
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(Created page with "===Introduction== In machine learning, a deep model is an artificial neural network composed of multiple layers. These networks are designed to learn representations of data that become increasingly abstract and complex as it progresses through each layer. Deep models have been employed in order to achieve top-of-the-art performance on various tasks such as image and speech recognition, natural language processing, and game playing. ==Background== Artificial neural netw...") |
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==Introduction== | |||
In machine learning, a deep model is an artificial neural network composed of multiple layers. These networks are designed to learn representations of data that become increasingly abstract and complex as it progresses through each layer. Deep models have been employed in order to achieve top-of-the-art performance on various tasks such as image and speech recognition, natural language processing, and game playing. | In machine learning, a deep model is an artificial neural network composed of multiple layers. These networks are designed to learn representations of data that become increasingly abstract and complex as it progresses through each layer. Deep models have been employed in order to achieve top-of-the-art performance on various tasks such as image and speech recognition, natural language processing, and game playing. | ||